Contextual Aware Electronic Alert System

2. The method of claim 1, wherein the indication is received as a message data structure that includes a content component and an action component.

3. The method of claim 1, wherein obtaining contextual information of the user comprises retrieving a location of the computing device associated with the user.

4. The method of claim 1, wherein the contextual information of the user includes a likelihood that the user is alone.

5. The method of claim 1, wherein obtaining contextual information of the user further comprises retrieving physiological characteristics of the user from a wearable computing device of the user.

6. The method of claim 1, wherein the likelihood is determined based on weights applied to the appointment information, the audible level of the environment associated with the user, and the device speed of the computing device associated with the user.

7. The method of claim 1, wherein the appointment information relates to whether or not the user is at an appointment and the likelihood that the user will respond to the electronic alert decreases when the user is at the appointment.

9. The non-transitory computer-readable medium of claim 8, wherein the indication is received as a message data structure that includes a content component and an action component.

10. The non-transitory computer-readable medium of claim 8, wherein obtaining contextual information of the user comprises retrieving a location of the computing device associated with the user.

11. The non-transitory computer-readable medium of claim 8, wherein the contextual information of the user includes a likelihood that the user is alone.

12. The non-transitory computer-readable medium of claim 8, wherein obtaining contextual information of the user further comprises retrieving physiological characteristics of the user from a wearable computing device of the user.

13. The non-transitory computer-readable medium of claim 8, wherein the likelihood is determined based on weights applied to the appointment information, the audible level of the environment associated with the user, and the device speed of the computing device associated with the user.

14. The non-transitory computer-readable medium of claim 8, wherein the appointment information relates to whether or not the user is at an appointment and the likelihood that the user will respond to the electronic alert decreases when the user is at the appointment.

16. The system of claim 15, wherein the indication is received as a message data structure that includes a content component and an action component.

17. The system of claim 15, wherein obtaining contextual information of the user comprises retrieving a location of the computing device associated with the user.

18. The system of claim 15, wherein obtaining contextual information of the user further comprises retrieving physiological characteristics of the user from a wearable computing device of the user.

19. The system of claim 15, wherein the likelihood is determined based on weights applied to the appointment information, the audible level of the environment associated with the user, and the device speed of the computing device associated with the user.

20. The system of claim 15, wherein the appointment information relates to whether or not the user is at an appointment and the likelihood that the user will respond to the electronic alert decreases when the user is at the appointment.